A Fast Motion Vector Search Algorithm for Variable Blocks

  • Yung-Lyul Lee
  • Yung-Ki Lee
  • HyunWook Park
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4179)


A fast motion estimation (ME) algorithm is proposed to search motion vectors for variable blocks. The proposed method is based on the successive elimination algorithm (SEA) using sum norms to find the best estimate of the motion vectors and to implement efficient calculations for variable blocks. The proposed ME algorithm is applied to the Joint Video Team (JVT) encoder that performs a variable-block ME. In terms of computational complexity, the proposed ME algorithm with limited search range searches motion vectors at about 6.3 times as fast as the spiral full search and 5.5 times as fast as the fast full search using the hierarchical sum of absolute difference (SAD), while the PSNR (peak signal-to-noise ratio) of the reconstructed image is slightly degraded with only 0.1~0.4 dB.


Motion Vector Motion Estimation Full Search Variable Block Joint Video Team 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yung-Lyul Lee
    • 1
  • Yung-Ki Lee
    • 1
  • HyunWook Park
    • 2
  1. 1.Department of Internet Engineering, DMS Lab.Sejong UniversitySeoulKorea
  2. 2.Department of Electrical EngineeringKAISTDaejeonKorea

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